Specific
4 employees on LinkedIn · 1 known investors
Specific AI is an automated distillation platform that turns task-specific prompts and data into small language models (SLMs) for enterprises building agentic AI workflows. It lets subject matter experts, rather than data scientists, produce production-grade models in days, deployable on private cloud, edge devices, or CPUs.
Also known as Specific AI
Investors · 1
Company profile
researched Aug 2026Specific AI operates an automatic distillation platform that converts task-specific prompts and customer data into small language models (SLMs) intended for production use in agentic AI workflows. The company positions SLMs as the practical choice once AI agents move from prototyping into production, citing low latency for real-time responses, more consistent output from task-specific focus, deployment on customer-controlled cloud or edge infrastructure, and the ability to run on CPUs rather than GPU clusters.
The stated workflow has three steps: the user describes the task in a prompt and supplies data (labeled, unlabeled, or none); the platform automatically scores and selects data, fine-tunes models, optimizes hyperparameters and supports validation; and the user receives a small production-grade model to test and deploy. The company states that one to three iterations are typically required to reach quality identical to or better than the source LLM, and that resulting models are typically 1,000x-10,000x smaller than their LLM equivalent. The platform also selects among a range of candidate base models for each SLM.
The company describes itself as the creator of the first automatic SLM distillation platform, framing the core problem as the weeks-to-months, data-scientist-intensive nature of manual SLM creation combined with the need for at least one model per task-specific agent.
Business model
Specific AI offers a platform product: customers submit a task prompt plus whatever data they have, and the platform returns a distilled production-grade small model. Distilled models can be served through the Specific AI platform and hosted on the customer's private cloud, or downloaded and run on the customer's own inference systems, including edge devices and CPU-based infrastructure.
Traction
The company cites customer outcomes without naming the organizations: a 120M-parameter model distilled from a teacher LLM of over one trillion parameters at a social media company; 41ms versus 932ms mean latency on-device at an enterprise company; and a 1,000x cheaper production cost using CPUs instead of GPUs, with accuracy, precision, recall and F1 improvements, at a healthcare company.
▸Full profile — market position, technology, go-to-market
Market position
Specific AI describes itself as the creator of the first automatic SLM distillation platform, targeting enterprises that need to produce large numbers of task-specific small models for agentic AI but are constrained by data scientist capacity.
The company's stated points of difference are automation of the full distillation pipeline (data scoring and selection, fine-tuning, hyperparameter optimization, validation), a reduction of SLM creation time from weeks or months to days, usability by subject matter experts rather than data scientists, automatic selection of the best-fitting base model, and self-hosted deployment options on private cloud, edge devices or CPUs.
Technology
The platform performs knowledge distillation from large teacher models into small student models. It automatically scores and selects training data, runs fine-tuning, optimizes hyperparameters and enables validation, and chooses base models to fit each task. Reported results include a 120M-parameter SLM distilled from a teacher model with more than one trillion parameters, 41ms mean latency running entirely on-device with no network calls versus 932ms for an LLM, and CPU-based production inference at a reported 1,000x lower cost than a frontier model with improvements in accuracy, precision, recall and F1.
Go-to-market
Specific AI markets directly to enterprises through its website, inviting prospective users to begin creating SLMs on the platform, and recruits staff via a careers email address.
Enterprises deploying agentic AI workflows that require many task-specific models; within those organizations the platform is aimed at subject matter experts and domain experts as well as data science teams. Referenced deployments include a social media company, an enterprise company and a healthcare company.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
▸Research sources · 8
primary sources listed
- Specificspecific.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Specific do?
- Specific AI runs an automated distillation platform that turns task prompts and data into production-grade small language models.
- Who are Specific's investors?
- Specific's investors include Angular Ventures.